TY - JOUR
T1 - An iterative sinogram gap-filling method with object- and scanner-dedicated discrete cosine transform (DCT)-domain filters for high resolution PET scanners
AU - Kim, Kwangdon
AU - Lee, Kisung
AU - Lee, Hakjae
AU - Joo, Sungkwan
AU - Kang, Jungwon
N1 - Funding Information:
Funding This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry and Energy (MOTIE) of the Republic of Korea (No. 20161520302180), by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (No. NRF-2017R1A2A2A05069821 and NRF-2016R1A2B2007551).
Publisher Copyright:
© 2017, Japan Radiological Society.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Purpose: We aimed to develop a gap-filling algorithm, in particular the filter mask design method of the algorithm, which optimizes the filter to the imaging object by an adaptive and iterative process, rather than by manual means. Methods: Two numerical phantoms (Shepp-Logan and Jaszczak) were used for sinogram generation. The algorithm works iteratively, not only on the gap-filling iteration but also on the mask generation, to identify the object-dedicated low frequency area in the DCT-domain that is to be preserved. We redefine the low frequency preserving region of the filter mask at every gap-filling iteration, and the region verges on the property of the original image in the DCT domain. Results: The previous DCT2 mask for each phantom case had been manually well optimized, and the results show little difference from the reference image and sinogram. We observed little or no difference between the results of the manually optimized DCT2 algorithm and those of the proposed algorithm. Conclusions: The proposed algorithm works well for various types of scanning object and shows results that compare to those of the manually optimized DCT2 algorithm without perfect or full information of the imaging object.
AB - Purpose: We aimed to develop a gap-filling algorithm, in particular the filter mask design method of the algorithm, which optimizes the filter to the imaging object by an adaptive and iterative process, rather than by manual means. Methods: Two numerical phantoms (Shepp-Logan and Jaszczak) were used for sinogram generation. The algorithm works iteratively, not only on the gap-filling iteration but also on the mask generation, to identify the object-dedicated low frequency area in the DCT-domain that is to be preserved. We redefine the low frequency preserving region of the filter mask at every gap-filling iteration, and the region verges on the property of the original image in the DCT domain. Results: The previous DCT2 mask for each phantom case had been manually well optimized, and the results show little difference from the reference image and sinogram. We observed little or no difference between the results of the manually optimized DCT2 algorithm and those of the proposed algorithm. Conclusions: The proposed algorithm works well for various types of scanning object and shows results that compare to those of the manually optimized DCT2 algorithm without perfect or full information of the imaging object.
KW - DCT
KW - DCT2
KW - Gap filling
KW - Positron emission tomography
KW - Sinogram interpolation
UR - http://www.scopus.com/inward/record.url?scp=85032662319&partnerID=8YFLogxK
U2 - 10.1007/s11604-017-0697-9
DO - 10.1007/s11604-017-0697-9
M3 - Article
C2 - 29086347
AN - SCOPUS:85032662319
SN - 1867-1071
VL - 36
SP - 59
EP - 67
JO - Japanese Journal of Radiology
JF - Japanese Journal of Radiology
IS - 1
ER -